Intelligent Earth (UKRI CDT in AI for the Environment) at University of Oxford

Programme overview

A doctoral course training a new generation of quantitative environmental data scientists to apply AI to pressing environmental problems. Students are advised by an environmental science supervisor, an AI supervisor from a different department and a non-academic partner who hosts a secondment.

Duration: 4 years full time; 6-8 years part time | Intake: 27 September 2027 | Study mode: full-time or part-time | Location: Oxford, England, United Kingdom

What you will study

An induction week, core courses in the foundations of AI and machine learning and of four environmental themes, responsible AI training, computational skills training and advanced cross-cohort courses on AI applied to major environmental challenges, alongside doctoral research.

Official programme page

Application information

Entry requirements

Doctoral entry (2027-28 entry): a first-class or strong upper second-class undergraduate degree with honours in biology, chemistry, computer science, engineering, earth sciences, environmental sciences, geography, geology, geophysics, mathematics, meteorology, oceanography, physics or statistics, or a related discipline such as data science or mathematical, physical and environmental science. US applicants: normally a minimum GPA of 3.5/4.0. A contextual statement may be provided with the application. English language (higher level, for applicants whose first language is not English): IELTS Academic 7.5 overall with at least 7.0 in each component; TOEFL iBT 110 overall with minimum Listening 22, Reading 24, Speaking 25, Writing 24; C1 Advanced or C2 Proficiency 191 overall and 185 per component; Oxford Test of English Advanced 165 overall and 155 per component. Tests must be taken no more than two years before the course start.

Domestic applicants: GBP 10,940 a year (2027/28). Full-time annual course fee Source

International applicants: GBP 36,260 a year (2027/28). Full-time annual course fee (overseas) Source

Intake: 27 September 2027

Duration: 4 years full-time; 6-8 years part-time

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